diff --git a/plots/bump-basic/implementations/plotnine.py b/plots/bump-basic/implementations/plotnine.py
index e9fd22595a..268d433473 100644
--- a/plots/bump-basic/implementations/plotnine.py
+++ b/plots/bump-basic/implementations/plotnine.py
@@ -1,19 +1,22 @@
 """ pyplots.ai
 bump-basic: Basic Bump Chart
-Library: plotnine 0.15.2 | Python 3.13.11
-Quality: 92/100 | Created: 2025-12-23
+Library: plotnine 0.15.3 | Python 3.14.3
+Quality: 94/100 | Updated: 2026-02-22
 """
 
 import pandas as pd
 from plotnine import (
     aes,
+    element_blank,
+    element_line,
+    element_rect,
     element_text,
     geom_line,
     geom_point,
     geom_text,
     ggplot,
     labs,
-    scale_color_brewer,
+    scale_color_manual,
     scale_x_continuous,
     scale_y_reverse,
     theme,
@@ -21,68 +24,100 @@
 )
 
 
-# Data - Tech company rankings over 6 quarters
-data = {
-    "entity": ["Alpha Corp"] * 6 + ["Beta Inc"] * 6 + ["Gamma Tech"] * 6 + ["Delta Systems"] * 6 + ["Epsilon Labs"] * 6,
-    "period": ["Q1", "Q2", "Q3", "Q4", "Q5", "Q6"] * 5,
-    "period_num": [1, 2, 3, 4, 5, 6] * 5,
-    "rank": [
-        1,
-        1,
-        2,
-        2,
-        1,
-        1,  # Alpha Corp - starts strong, slight dip, recovers
-        2,
-        3,
-        1,
-        1,
-        2,
-        3,  # Beta Inc - rises to top mid-year, then falls
-        3,
-        2,
-        3,
-        4,
-        4,
-        2,  # Gamma Tech - volatile movement
-        4,
-        4,
-        4,
-        3,
-        3,
-        4,  # Delta Systems - stable middle performer
-        5,
-        5,
-        5,
-        5,
-        5,
-        5,  # Epsilon Labs - consistently last
-    ],
+# Data - Streaming platform market share rankings over 8 quarters
+platforms = ["StreamVue", "WavePlay", "CloudCast", "PixelFlix", "SonicNet", "EchoTV"]
+quarters = ["Q1'24", "Q2'24", "Q3'24", "Q4'24", "Q1'25", "Q2'25", "Q3'25", "Q4'25"]
+n_periods = len(quarters)
+
+rankings = {
+    "StreamVue": [1, 1, 1, 2, 2, 3, 3, 4],
+    "WavePlay": [2, 3, 3, 1, 1, 1, 1, 1],
+    "CloudCast": [4, 2, 2, 3, 3, 2, 2, 2],
+    "PixelFlix": [3, 4, 4, 4, 5, 5, 4, 3],
+    "SonicNet": [5, 5, 5, 5, 4, 4, 5, 5],
+    "EchoTV": [6, 6, 6, 6, 6, 6, 6, 6],
 }
-df = pd.DataFrame(data)
+
+rows = []
+for platform, ranks in rankings.items():
+    for i, rank in enumerate(ranks):
+        rows.append({"platform": platform, "quarter": quarters[i], "qnum": i + 1, "rank": rank})
+df = pd.DataFrame(rows)
 
 # Subset for end labels
-df_end = df[df["period_num"] == 6].copy()
+df_end = df[df["qnum"] == n_periods].copy()
+
+# Visual hierarchy: protagonist entities vs supporting cast
+protagonists = ["StreamVue", "WavePlay"]
+supporting = ["CloudCast", "PixelFlix", "SonicNet", "EchoTV"]
+
+df_hero = df[df["platform"].isin(protagonists)]
+df_support = df[df["platform"].isin(supporting)]
+
+# Crossover emphasis at Q4'24 (qnum=4) where WavePlay overtakes StreamVue
+df_crossover = pd.DataFrame(
+    [{"qnum": 4, "rank": 1, "platform": "WavePlay"}, {"qnum": 4, "rank": 2, "platform": "StreamVue"}]
+)
+
+# Colorblind-safe palette — Python Blue first, warm orange for WavePlay
+# Replaced red with teal (#17becf) for deuteranopia safety
+palette = {
+    "StreamVue": "#306998",
+    "WavePlay": "#e8963e",
+    "CloudCast": "#59a14f",
+    "PixelFlix": "#17becf",
+    "SonicNet": "#9d7660",
+    "EchoTV": "#bab0ac",
+}
 
-# Plot
+# Plot — layered for visual hierarchy
 plot = (
-    ggplot(df, aes(x="period_num", y="rank", color="entity", group="entity"))
-    + geom_line(size=2.5, alpha=0.8)
-    + geom_point(size=6)
-    + geom_text(aes(label="entity"), data=df_end, nudge_x=0.3, ha="left", size=12)
-    + scale_y_reverse(breaks=[1, 2, 3, 4, 5])
-    + scale_x_continuous(breaks=[1, 2, 3, 4, 5, 6], labels=["Q1", "Q2", "Q3", "Q4", "Q5", "Q6"], limits=(0.5, 7.5))
-    + scale_color_brewer(type="qual", palette="Set2")
-    + labs(x="Quarter", y="Rank", title="bump-basic · plotnine · pyplots.ai", color="Company")
+    ggplot(df, aes(x="qnum", y="rank", color="platform", group="platform"))
+    # Supporting lines: thinner, more transparent
+    + geom_line(data=df_support, size=1.8, alpha=0.4)
+    + geom_point(data=df_support, size=4, stroke=0.6, fill="white")
+    + geom_point(data=df_support, size=2.5, alpha=0.5)
+    # Protagonist lines: bold and saturated
+    + geom_line(data=df_hero, size=3.5, alpha=0.95)
+    + geom_point(data=df_hero, size=7, stroke=1.0, fill="white")
+    + geom_point(data=df_hero, size=4.5)
+    # Crossover emphasis at Q4'24
+    + geom_point(data=df_crossover, size=12, alpha=0.15)
+    # End labels — bold for protagonists, italic for supporting
+    + geom_text(
+        aes(label="platform"),
+        data=df_end[df_end["platform"].isin(protagonists)],
+        nudge_x=0.35,
+        ha="left",
+        size=13,
+        fontweight="bold",
+    )
+    + geom_text(
+        aes(label="platform"),
+        data=df_end[df_end["platform"].isin(supporting)],
+        nudge_x=0.35,
+        ha="left",
+        size=11,
+        fontstyle="italic",
+        alpha=0.7,
+    )
+    + scale_y_reverse(breaks=range(1, len(platforms) + 1))
+    + scale_x_continuous(breaks=range(1, n_periods + 1), labels=quarters, limits=(0.5, n_periods + 2))
+    + scale_color_manual(values=palette)
+    + labs(x="Quarter", y="Market Share Ranking", title="bump-basic · plotnine · pyplots.ai")
     + theme_minimal()
     + theme(
         figure_size=(16, 9),
-        text=element_text(size=14),
-        axis_title=element_text(size=20),
-        axis_text=element_text(size=16),
-        plot_title=element_text(size=24),
-        legend_text=element_text(size=16),
-        legend_title=element_text(size=18),
+        text=element_text(size=14, color="#3c3c3c"),
+        axis_title=element_text(size=20, color="#555555"),
+        axis_text=element_text(size=16, color="#666666"),
+        axis_text_x=element_text(rotation=0),
+        plot_title=element_text(size=24, weight="bold", color="#2b2b2b"),
+        panel_grid_major_x=element_blank(),
+        panel_grid_minor=element_blank(),
+        panel_grid_major_y=element_line(alpha=0.15, size=0.4, color="#cccccc"),
+        panel_background=element_rect(fill="white", color="none"),
+        plot_background=element_rect(fill="#fafafa", color="none"),
         legend_position="none",
     )
 )
diff --git a/plots/bump-basic/metadata/plotnine.yaml b/plots/bump-basic/metadata/plotnine.yaml
index 761762d3bd..9bf2330727 100644
--- a/plots/bump-basic/metadata/plotnine.yaml
+++ b/plots/bump-basic/metadata/plotnine.yaml
@@ -1,161 +1,188 @@
 library: plotnine
 specification_id: bump-basic
 created: '2025-12-23T09:18:24Z'
-updated: '2025-12-23T09:21:54Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-02-22T21:15:55Z'
+generated_by: claude-opus-4-6
 workflow_run: 20456610470
 issue: 0
-python_version: 3.13.11
-library_version: 0.15.2
+python_version: 3.14.3
+library_version: 0.15.3
 preview_url: https://storage.googleapis.com/pyplots-images/plots/bump-basic/plotnine/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/bump-basic/plotnine/plot_thumb.png
 preview_html: null
-quality_score: 92
+quality_score: 94
 impl_tags:
   dependencies: []
   techniques:
+  - layer-composition
   - annotations
   patterns:
   - data-generation
+  - iteration-over-groups
   dataprep: []
   styling:
-  - minimal-chrome
+  - alpha-blending
+  - grid-styling
+  - edge-highlighting
 review:
   strengths:
-  - Excellent implementation of the bump chart concept with proper Y-axis inversion
-  - Smart use of direct labeling (geom_text) instead of legend for cleaner visualization
-  - Well-chosen Set2 color palette provides good distinction and colorblind accessibility
-  - Data tells a compelling story with varied ranking patterns (leader Alpha Corp,
-    volatile Gamma Tech, stable underperformer Epsilon Labs)
-  - Clean code structure following KISS principles
+  - Excellent visual hierarchy through protagonist/supporting cast distinction with
+    differentiated line weights, marker sizes, and alpha values
+  - Custom colorblind-safe palette with intentional warm/cool contrast and deuteranopia
+    consideration
+  - 'Effective data storytelling: crossover emphasis at Q4''24, bold/italic label
+    differentiation, and layered rendering order guide the viewer''s eye'
+  - Clean idiomatic plotnine code using grammar of graphics layering with data subsetting
+  - Perfect spec compliance with inverted y-axis, dot markers, connecting lines, and
+    direct end labels
   weaknesses:
-  - Grid lines could be more subtle (lower alpha) for a cleaner look
-  - Axis labels are functional but could be more descriptive
-  image_description: 'The plot displays a bump chart showing tech company rankings
-    over 6 quarters (Q1-Q6). Five companies are tracked: Alpha Corp (teal), Gamma
-    Tech (green), Beta Inc (coral/salmon), Delta Systems (blue/periwinkle), and Epsilon
-    Labs (pink). The Y-axis shows ranks 1-5 with rank 1 at the top (inverted). Lines
-    connect each company''s rank across quarters with dot markers at each data point.
-    Company names appear as labels on the right side at their final Q6 positions.
-    The title "bump-basic · plotnine · pyplots.ai" is displayed at the top. The background
-    is minimal with a subtle grid.'
+  - Design polish could reach full publication quality with custom typefaces or explanatory
+    subtitle
+  - Library Mastery could improve by leveraging more uniquely plotnine features like
+    stat layers or coord transforms
+  image_description: 'The plot displays a bump chart tracking streaming platform market
+    share rankings over 8 quarters (Q1''24 to Q4''25). Six platforms are shown: WavePlay
+    (orange, bold line), StreamVue (dark blue, bold line), CloudCast (green, thin),
+    PixelFlix (teal, thin), SonicNet (brown, thin), and EchoTV (gray, thin). The y-axis
+    is inverted with rank 1 at the top and rank 6 at the bottom, labeled "Market Share
+    Ranking". The x-axis shows quarterly labels. Two "protagonist" lines (WavePlay
+    and StreamVue) are drawn thicker and more saturated, while four supporting lines
+    are thinner and more transparent. A subtle crossover emphasis (large semi-transparent
+    circle) appears at Q4''24 where WavePlay overtakes StreamVue for the #1 position.
+    End labels are placed to the right — bold for protagonists, italic for supporting
+    cast. White-filled circle markers appear at each data point. The background is
+    light gray (#fafafa) with a white panel, subtle horizontal grid lines only, and
+    no vertical grid lines. The title reads "bump-basic · plotnine · pyplots.ai" in
+    bold at the top.'
   criteria_checklist:
     visual_quality:
-      score: 36
-      max: 40
+      score: 30
+      max: 30
       items:
       - id: VQ-01
         name: Text Legibility
-        score: 10
-        max: 10
+        score: 8
+        max: 8
         passed: true
-        comment: Title at 24pt, axis labels at 20pt, tick labels at 16pt - all clearly
-          readable
+        comment: 'All font sizes explicitly set: title=24pt, axis_title=20pt, axis_text=16pt,
+          base=14pt, end labels 13/11. All perfectly readable.'
       - id: VQ-02
         name: No Overlap
-        score: 8
-        max: 8
+        score: 6
+        max: 6
         passed: true
-        comment: No overlapping text elements; end labels well-spaced at different
-          ranks
+        comment: No text overlap anywhere. End labels well-spaced, x-axis labels clearly
+          separated.
       - id: VQ-03
         name: Element Visibility
-        score: 7
-        max: 8
+        score: 6
+        max: 6
         passed: true
-        comment: Lines (size=2.5) and points (size=6) are well-sized; slight deduction
-          as some line crossings are dense
+        comment: Lines and points well-adapted. Protagonist lines bold (size 3.5,
+          markers size 7), supporting thinner but traceable.
       - id: VQ-04
         name: Color Accessibility
-        score: 5
-        max: 5
+        score: 4
+        max: 4
         passed: true
-        comment: Set2 palette is colorblind-safe with good distinction between categories
+        comment: Custom colorblind-safe palette with teal replacing red for deuteranopia
+          safety. All six colors distinct.
       - id: VQ-05
-        name: Layout Balance
+        name: Layout & Canvas
         score: 4
-        max: 5
+        max: 4
         passed: true
-        comment: Good proportions; right side has adequate space for labels but could
-          be slightly tighter
+        comment: 16:9 canvas well-utilized (~70% fill). Right margin accommodates
+          end labels intentionally.
       - id: VQ-06
-        name: Axis Labels
-        score: 1
+        name: Axis Labels & Title
+        score: 2
         max: 2
         passed: true
-        comment: '"Quarter" and "Rank" are descriptive but lack context (e.g., could
-          be "Quarterly Period")'
-      - id: VQ-07
-        name: Grid & Legend
-        score: 1
-        max: 2
+        comment: Descriptive labels. Units not applicable for ordinal ranks and categorical
+          time.
+    design_excellence:
+      score: 16
+      max: 20
+      items:
+      - id: DE-01
+        name: Aesthetic Sophistication
+        score: 6
+        max: 8
+        passed: true
+        comment: Strong design with custom palette, warm/cool contrast, protagonist/supporting
+          hierarchy, typography differentiation. Clearly above defaults but not full
+          publication polish.
+      - id: DE-02
+        name: Visual Refinement
+        score: 5
+        max: 6
         passed: true
-        comment: Grid subtle, legend disabled in favor of direct labels (good choice),
-          but grid could be even more subtle
+        comment: Subtle y-only grid (alpha=0.15), x-grid removed, custom background
+          (#fafafa/white), refined text colors. Very polished.
+      - id: DE-03
+        name: Data Storytelling
+        score: 5
+        max: 6
+        passed: true
+        comment: Clear narrative through protagonist/supporting hierarchy. Crossover
+          emphasis at Q4'24 highlights key inflection. Viewer grasps story immediately.
     spec_compliance:
-      score: 25
-      max: 25
+      score: 15
+      max: 15
       items:
       - id: SC-01
         name: Plot Type
-        score: 8
-        max: 8
-        passed: true
-        comment: Correct bump chart showing ranking changes over time
-      - id: SC-02
-        name: Data Mapping
         score: 5
         max: 5
         passed: true
-        comment: X=period, Y=rank, color=entity - correctly assigned
-      - id: SC-03
+        comment: Correct bump chart with rankings connected over time periods.
+      - id: SC-02
         name: Required Features
-        score: 5
-        max: 5
+        score: 4
+        max: 4
         passed: true
-        comment: Y-axis inverted, distinct colors, dot markers, lines connecting entities
-      - id: SC-04
-        name: Data Range
+        comment: 'All spec features: inverted y-axis, distinct colors, dot markers,
+          connecting lines, entity labels.'
+      - id: SC-03
+        name: Data Mapping
         score: 3
         max: 3
         passed: true
-        comment: All data visible, axis limits appropriate (0.5-7.5 allows space for
-          labels)
-      - id: SC-05
-        name: Legend Accuracy
-        score: 2
-        max: 2
-        passed: true
-        comment: Direct labels accurate and match entities
-      - id: SC-06
-        name: Title Format
-        score: 2
-        max: 2
+        comment: X=time periods, Y=rank positions, all 6 entities across 8 periods
+          correctly mapped.
+      - id: SC-04
+        name: Title & Legend
+        score: 3
+        max: 3
         passed: true
-        comment: 'Uses correct format: "bump-basic · plotnine · pyplots.ai"'
+        comment: Title format correct. Legend hidden with direct end labels — effective
+          approach.
     data_quality:
-      score: 18
-      max: 20
+      score: 15
+      max: 15
       items:
       - id: DQ-01
         name: Feature Coverage
-        score: 7
-        max: 8
+        score: 6
+        max: 6
         passed: true
-        comment: Shows rank changes, overtakes, stability (Epsilon Labs), volatility
-          (Gamma Tech); good variety but all 5 ranks used every period (no ties shown)
+        comment: 'Shows all bump chart aspects: rising, falling, stable, crossovers,
+          mid-range volatility.'
       - id: DQ-02
         name: Realistic Context
-        score: 7
-        max: 7
+        score: 5
+        max: 5
         passed: true
-        comment: Tech company market rankings is a plausible real-world scenario
+        comment: 'Streaming platform market share rankings: realistic business scenario,
+          neutral topic.'
       - id: DQ-03
         name: Appropriate Scale
         score: 4
-        max: 5
+        max: 4
         passed: true
-        comment: 5 entities, 6 periods is appropriate; ranks 1-5 sensible
+        comment: 6 platforms ranked 1-6, 8 quarters over 2 years, gradual plausible
+          ranking changes.
     code_quality:
       score: 10
       max: 10
@@ -165,41 +192,47 @@ review:
         score: 3
         max: 3
         passed: true
-        comment: Simple imports → data → plot → save structure, no functions/classes
+        comment: Clean Imports → Data → Plot → Save structure, no functions or classes.
       - id: CQ-02
         name: Reproducibility
-        score: 3
-        max: 3
+        score: 2
+        max: 2
         passed: true
-        comment: Data is deterministic (hardcoded values)
+        comment: Fully deterministic hardcoded ranking data.
       - id: CQ-03
         name: Clean Imports
         score: 2
         max: 2
         passed: true
-        comment: All imports are used
+        comment: All imports used, no unused imports.
       - id: CQ-04
-        name: No Deprecated API
-        score: 1
-        max: 1
+        name: Code Elegance
+        score: 2
+        max: 2
         passed: true
-        comment: Uses current plotnine API
+        comment: Elegant layered approach with protagonist/supporting data subsetting.
       - id: CQ-05
-        name: Output Correct
+        name: Output & API
         score: 1
         max: 1
         passed: true
-        comment: Saves as "plot.png"
-    library_features:
-      score: 3
-      max: 5
+        comment: Saves as plot.png with dpi=300, current plotnine API.
+    library_mastery:
+      score: 8
+      max: 10
       items:
-      - id: LF-01
-        name: Uses distinctive library features
+      - id: LM-01
+        name: Idiomatic Usage
+        score: 5
+        max: 5
+        passed: true
+        comment: 'Expert use of ggplot grammar: layered geom composition with data
+          subsetting, proper aes/scale/theme chaining.'
+      - id: LM-02
+        name: Distinctive Features
         score: 3
         max: 5
         passed: true
-        comment: Uses ggplot grammar properly with geom_line, geom_point, geom_text,
-          scale_y_reverse, theme customization; solid plotnine usage but no advanced
-          features like faceting
+        comment: Grammar of graphics layering with data subsetting per geom, scale_y_reverse,
+          geom_text typography. Distinctive but adaptable to other libraries.
   verdict: APPROVED